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Suitable Environmental Flow Release Criteria for Both Human and Riverine Ecosystems: Accounting for the Uncertainty of Flows

机译：适用于人类和河流生态系统的适当环境流量释放标准：考虑流量不确定性

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摘要

Environmental flow (e-flow) release criteria are key parameters in water resources management and riverine ecosystem protection. The previous methods for e-flow criterion determination are based on the historical flow time series without the consideration of flow uncertainty. Due to low possibility of reoccurrence of the historical flows and the uncertainty of future flows, the flow uncertainty needs to be integrated in the process of determining e-flow release criteria. In this research, a new method is proposed to determine the optimal e-flow release criteria under flow uncertainty accounting for both the human and riverine ecosystem needs. In the new method, the scenario tree method is applied to generate the scenarios of flows, which can cover most of possible flow conditions and can effectively reflect the uncertainty of flows; the Range of Variability Approach (RVA), a most commonly used method to assess the flow regime alteration, is refined by incorporating the uncertainty of flows. The Tang River in Northern China is taken as a case study to test the effectiveness of the new method. The results show that the previous method obviously overestimates the optimal e-flow release criteria and the new method can get more suitable criteria that are suitable for both human and riverine ecosystems.
机译：环境流量（e-flow）释放标准是水资源管理和河流生态系统保护的关键参数。以前的电子流量标准确定方法基于历史流量时间序列，而不考虑流量不确定性。由于历史流量重现的可能性很小，并且未来流量的不确定性很大，因此在确定电子流量释放标准的过程中需要将流量不确定性纳入考虑。在这项研究中，提出了一种新的方法来确定在考虑人类和河流生态系统需求的流量不确定性下的最佳电子流量释放标准。在新方法中，应用场景树方法来生成流量场景，该场景可以覆盖大多数可能的流量条件，并且可以有效地反映流量的不确定性。可变性范围法（RVA）是一种最常用的评估流态变化的方法，通过合并流量的不确定性来完善。以中国北方的唐河为例，测试了该新方法的有效性。结果表明，前一种方法明显高估了最佳的电子流释放标准，而新方法可以得到更适合人类和河流生态系统的标准。

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  • 来源
    《Mathematical Problems in Engineering》 |2012年第12期|704989.1-704989.14|共14页
  • 作者

    Jian Tang; Xinan Yin; ChunXue Yu; Zhifeng Yang;

  • 作者单位

    State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China;

    State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China;

    State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China;

    State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China;

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